Add new API nvgpu_get_gk20a_from_cdev() that extracts gk20a pointer
from cdev pointer. This helps in keeping cdev related implementation
details in ioctl.c and away from other device ioctl files.
Also move struct nvgpu_cdev, nvgpu_class, and nvgpu_cdev_class_priv_data
from os_linux.h to ioctl.h since all of these structures are more IOCTL
related and better to keep them in ioctl specific header.
Jira NVGPU-5648
Change-Id: Ifad8454fd727ae2389ccf3d1ba492551ef1613ac
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2435466
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
Reviewed-by: Lakshmanan M <lm@nvidia.com>
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Add new API nvgpu_get_gpu_instance_id_from_cdev() that returns GPU
instance id from nvgpu_cdev pointer.
Store cdev pointer in channel private data channel_priv and ctrl node
private data gk20a_ctrl_priv.
Update below functions to pass cdev pointer :
__gk20a_channel_open()
gk20a_channel_open_ioctl()
In gk20a_channel_ioctl(), extract gpu instance id using cdev pointer
stored in channel_priv and new API nvgpu_get_gpu_instance_id_from_cdev().
Extract GR instance id using nvgpu_grmgr_get_gr_instance_id()
Invoke context creation API inside nvgpu_gr_exec_with_err_for_instance()
so that context is created with correct GR instance id.
Jira NVGPU-5648
Change-Id: I5a4e79165e021b56181d08105b2185306a19703b
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2435465
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
Reviewed-by: Lakshmanan M <lm@nvidia.com>
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In MIG mode, each of the dev nodes should be enumerated for each fGPU.
And for physical instance only the "ctrl" node should be enumerated.
Support this with below set of changes :
- Add struct nvgpu_mig_static_info that describes static GPU instance
configuration. GPCs are enumerated only during poweron and grmgr unit
will populate instance information based on number of GPCs.
For linux, GPU poweron happens only with first gk20a_busy() call and
instance information is not available during probe() time. Hence this
static table is a temporary solution until proper solution is
identified.
- Add nvgpu_default_mig_static_info for iGPU and
nvgpu_default_pci_mig_static_info for dGPU that describes GPU instance
partition.
- Add new function nvgpu_prepare_mig_dev_node_class_list() that parses
the static table and creates one class per instance in MIG mode.
Non-MIG mode classes are now enumerated in
nvgpu_prepare_default_dev_node_class_list().
- Add new structure nvgpu_cdev_class_priv_data to store private data for
each cdev. This will hold instance specific information and pointer to
private data will be maintained in struct class and also passed as
private data while creating device node with device_create()
- Add nvgpu_mig_phys_devnode() to set dev node path/names for fGPUs and
add nvgpu_mig_fgpu_devnode() to set dev node path/names for physical
instance in MIG mode.
- Add new field mig_physical_node to struct nvgpu_dev_node. This field
is set if corresponding dev node should be created for physical
instance in MIG mode. For now set it only for "ctrl" node.
Jira NVGPU-5648
Change-Id: Ic97874eece1fbe0083b3ac4c48e36e06004f1bc2
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2434586
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
Reviewed-by: Lakshmanan M <lm@nvidia.com>
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Remove devnode_class pointer from struct nvgpu_os_linux and replace it
by a list head.
Add new structure nvgpu_class to store class related meta-data and
create it dynamically in nvgpu_create_class().
Add new function nvgpu_prepare_dev_node_class_list() to prepare list of
all classes that are required for each GPU.
For now there is only one class per GPU, but in MIG mode multiple
classes will be created with one class per instance.
Update gk20a_user_init() to loop through list of classes and create
dev nodes for each class.
gk20a_user_deinit() frees up the linked list.
Jira NVGPU-5648
Change-Id: I891a55c0ce1c2ff9db094564529b3f569df9735c
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2428501
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
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Remove static dev node meta data from struct nvgpu_os_linux and replace
it by a dynamic list. Struct nvgpu_os_linux will only keep track of list
head and number of entries.
Add new structure nvgpu_cdev to store meta data of each dev node and
create/setup it dynamically in gk20a_user_init(). Once done, add the new
node under list head maintained in nvgpu_os_linux.
Add a static list dev_node_list[] that contains list of dev node names
and file operations. This static list is used to create nvgpu_cdev data
structures and to register new device nodes.
Update all dev node open file operations (e.g. gk20a_as_dev_open()) to
extract struct gk20a pointer from device pointer of dev node.
gk20a device is the parent of dev node device.
Jira NVGPU-5648
Change-Id: If070c3428afd6215e45b4919335d9f43e04c36f9
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2428500
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
Reviewed-by: Alex Waterman <alexw@nvidia.com>
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Remove static class definition and registration for iGPU and dGPU.
Create the class dynamically in gk20a_user_init() and setup the callback
function to create devnode name based on GPU type.
For now add nvgpu_pci_devnode() callback for dGPU that sets correct
dev node path for dGPUs. For iGPU, Android apparently does not honor dev
node path set in callback and hence override the device name for iGPU
with function nvgpu_devnode().
Destroy the class in gk20a_user_deinit().
This will overall be helpful in adding multiple classes and dev nodes
for each GPU instance in MIG mode.
Set GPU device pointer as the parent of new devices created with
device_create(). This is helpful in getting GPU device name in
callback function nvgpu_pci_devnode().
Update functions to not pass class structure and interface names :
nvgpu_probe()
gk20a_user_init()
gk20a_user_deinit()
nvgpu_remove()
Remove static interface name format like INTERFACE_NAME since it is no
longer needed.
Update GK20A_NUM_CDEVS to 10 since there are 10 dev nodes per GPU right
now.
Jira NVGPU-5648
Change-Id: I5d41db5a0f87fa4a558297fb4135a9fbfcd51080
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2423492
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Use fixed address mapping for pma byte buffer so that the address of
this buffer always fits in 32 bits.
This also requires to move unmap sequence to OS specific function since
different unmap API is now needed for linux and QNX.
Also call nvgpu_prof_free_pma_stream_priv_data() before
nvgpu_profiler_free_pma_stream() since former uses mm->perfbuf which
is released in later.
Bug 2510974
Jira NVGPU-5360
Change-Id: I398b0ca4f96527d6e09c9aacacb4b43c90f5bfc9
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2424691
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
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Background: There is a race that occurs when l2_fb_ops ioctl is
invoked. The race occurs as part of the flush() call while a
gk20_idle() is in progress.
This patch handles the race by making changes in the l2_fb_ops
ioctl itself. For cases where pm_runtime is disabled or railgate is
disabled, we allow this ioctl call to always go ahead as power is
assumed to be always on.
For the other case, we first check the status of g->power_on. In the
driver, g->power_on is set to true, once unrailgate is completed and is
set to false just before calling railgate.
For linux, the driver invokes gk20a_idle() but there is a delay after
which the call to the rpm_suspend()'s callback gets triggered. This
leads to a scenario where we cannot efficiently rely on the
runtime_pm's APIs to allow us to block an imminent suspend or exit if
the suspend is currently in progress. Previous attempts at solving this
has lead to ineffective solutions and make it much complicated to
maintain the code.
With regards to the above, this patch attempts to simplify the way this
can be solved. The patch calls gk20a_busy() when g->power_on = true.
This prevents the race with gk20a_idle(). Based on the rpm_resume and
rpm_suspend's upstream code, resume is prioritized over a suspend
unless a suspend is already in progress i.e. the delay period has been
served and the suspend invokes the callback. There is a very small
window for this to happen and the ioctl can then power_up the device as
evident from the gk20a_busy's calls.
nvgpu power state is queried using nvgpu_is_powered_off to determine
whether to skip the resume. power state is protected under spinlock.
Bug 200507468
Change-Id: I5c02dfa8ea855732e59b759d167152cf45a1131f
Signed-off-by: Debarshi Dutta <ddutta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2299545
(cherry picked from commit 06942bd268)
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2425682
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In linux kernel v4.14 and below gpu sysfs node is created under
/sys/devices. In linux kernel v5.x it is created under
/sys/devices/platform.
Create symbolic link gpu.0 under /sys/devices/ as various tests
and scripts expect it to be there.
Bug 200665782
Change-Id: I807ce72fad94438f927df25e829082e771b72543
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2426544
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Fuse registers should be queried with physical gpc-id and not the
logical ones. For tu104 and before chips physical gpc-ids are same as
logical for non-floorswept config but for newer chips it may differ.
Also, logical to physical mapping is not present for a floorswept gpc so
query gpc_tpc mask only upto actual gpcs that are present.
Jira NVGPU-6080
Change-Id: I84c4a3c1f256fdd1927f4365af26e9892fe91beb
Signed-off-by: shashank singh <shashsingh@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2417721
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The simulator ring buffer DMA interface supports buffers of the following sizes:
4, 8, 12 and 16K. At present, it is configured to 4K and it happens to match
with the kernel PAGE_SIZE, which is used to wrap back the GET/PUT pointers once
4K is reached. However, this is not always true; for instance, take 64K pages.
Hence, replace PAGE_SIZE with SIM_BFR_SIZE.
Introduce macro NVGPU_CPU_PAGE_SIZE which aliases to PAGE_SIZE and replace
latter with former.
Bug 200658101
Jira NVGPU-6018
Change-Id: I83cc62b87291734015c51f3e5a98173549e065de
Signed-off-by: Antony Clince Alex <aalex@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2420728
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Mapping of large buffers to GMMU end up needing many
pages for the PTE tables. Allocating these one by one
can end up being a performance bottleneck, particularly
in the virtualized case.
This is adding the following changes:
- As the TLB invalidation doesn't have access to mem_off,
allow top-level allocation by alloc_cache_direct().
- Define NVGPU_PD_CACHE_SIZE, the allocation size for a new slab
for the PD cache, effectively set to 64K bytes
- Use the PD cache for any allocation < NVGPU_PD_CACHE_SIZE
When freeing up cached entries, avoid prefetch errors by
invalidating the entry (memset to 0).
- Try to fall back to direct allocation of smaller chunk for
contiguous allocation failures.
- Unit test changes.
Bug 200649243
Change-Id: I0a667af0ba01d9147c703e64fc970880e52a8fbc
Signed-off-by: dt <dt@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2404371
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Right now PMA byte buffer address is allocated in the range of
0x1ffc010000. The register that stores this address is only 32-bit and
there is no corresponding _hi() register, so the address must fit in
32 bits.
Update nvgpu_vm_init() parameters in nvgpu_perfbuf_init_vm() so that a
low_hole of only 4K is used. This allows the address to be allocated
in the range of 0x4000000.
Also map byte buffer before PMA stream buffer so that byte buffer always
gets lower address.
There is only one PMA stream buffer allowed to be mapped right now so
this works for now. But in future multiple buffers can be mapped and this
solution needs to be reworked.
Bug 2510974
Jira NVGPU-5360
Change-Id: Ief1a9ee54d554e3bc13c7a9567934dcbeaefbcc6
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2418520
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Support new IOCTL to manage PMA stream meta data by adding below API
nvgpu_prof_ioctl_pma_stream_update_get_put()
Add nvgpu_perfbuf_update_get_put() to handle all the updates coming
from userspace and to pass all required information.
Add gops.perf.update_get_put() to handle all HW accesses required in
perf HW unit.
Add gops.perf.bind_mem_bytes_buffer_addr() to bind the available bytes
buffer while binding HWPM streamout.
Bug 2510974
Jira NVGPU-5360
Change-Id: Ibacc2299b845e47776babc081759dfc4afde34fe
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2406484
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
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Add two new IOCTL APIs to allocate/free pma stream. Add two new
functions to handle this :
nvgpu_prof_ioctl_alloc_pma_stream()
nvgpu_prof_ioctl_free_pma_stream()
Allocation of pma stream includes below steps :
- Initializing perfbuf VM
- Mapping PMA buffer into perfbuf VM
- Mapping PMA byte buffer into perfbuf VM
- Mapping PMA byte buffer to CPU virtual address space
Store all of above data in struct nvgpu_profiler_object for
reference. OS specific data is stored in struct
nvgpu_profiler_object_priv
Update HWPM streamout bind/unbind sequence to enable/disable perfbuf
respectively.
Also take care of releasing the pma stream resources in profiler object
close path if they are not explicitly released by user space by IOCTL
call.
Bug 2510974
Jira NVGPU-5360
Change-Id: I126633746cabc4e293c7ad7c49806866a897949d
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2406483
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
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Enable CONFIG_GK20A_DEVFREQ and apply corresponding
changes for kernel-5.9
- Remove frequency clipping of devfreq min/max frequency
constraint due to devfreq already takes care of it.
- Register available GPU frequencies to OPP framework
due to devfreq access available device frequencies
through OPP frameworks during device frequency
transition.
Bug 200639056
Change-Id: I72e4a7825ae9ca814791dc283138d17a5cfbe8e2
Signed-off-by: Aaron Tian <atian@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2400107
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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Following changes are made in this patch.
1) Change unnamed structs within gpu_ops to named structs
with the prefix gops_*.
2) Each named struct gops_ are moved into a separate gops specific file
under include/nvgpu/gops/
3) struct gpu_ops is moved into a separate file include/nvgpu/gpu_ops.h
and all other dependent struct gops_* are included in this header.
4) Direct references to include/nvgpu/gops are removed from files as its enough
to include gk20a.h.
Change-Id: Ieb22cb853be567e3bef14f5f8a04674eebd902ea
Signed-off-by: Debarshi Dutta <ddutta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2398776
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* Removed unnecessary irqs_enabled flag, and
Replaced enable/disable irq logics with nvgpu variant functions.
* Added nvgpu_interrupts data structure to hold interrupt details.
* Interpret all stall irqs first and followed by nonstall irq from dt.
* Used interrupt size checks for enable/disable irqs instead of
comparing stall and nonstall interrupt lines.
Now adding new stall interrupt lines as easy as just updating macro.
Jira NVGPU-6019
Change-Id: I5a5eaa8d333c68ee87d25d2b45ec244ec8d7b297
Signed-off-by: Sagar Kadamati <skadamati@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2400777
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The max values that the Linux nvhost driver tracks are adding some
complexity to our wrapper APIs. Max values are used only for internal
submit syncpoint tracking, so implement that tracking in the sync code
by just storing the last value that the syncpoing will reach after all
jobs are complete.
The value is a simple u32. It's accessed from functions in the submit
path that already is serialized, so there's no worrying about atomic
modifications.
Previously nvhost_syncpt_set_min_eq_max_ext() was used to reset the
syncpoint when necessary. Now with the internal max value we'll use
nvhost_syncpt_set_minval(), so add a wrapper for it.
The maxval reported with the user syncpoint allocation is just the
current value at allocation time since no jobs have affected it yet;
there is no means for the kernel to track the max value of user
syncpoints.
Jira NVGPU-5506
Change-Id: I34672eaa7fe3af36b2fbac92d11babe2bc6a2d2b
Signed-off-by: Konsta Hölttä <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2400635
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common.gr unit exports a separate API nvgpu_gr_prepare_sw to
initialize some SW pieces required for nvgpu_gr_enable_hw().
A separate API is really unnecessary since same initialization
can be performed in nvgpu_gr_alloc().
Remove nvgpu_gr_prepare_sw() and HAL gops.gr.gr_prepare_sw().
Initialize falcon and interrupt structures in loop from
nvgpu_gr_alloc().
Move nvgpu_netlist_init_ctx_vars() from nvgpu_gr_prepare_sw() to
common init path since netlist parsing need not be done from
common.gr unit. It just needs to happen before nvgpu_gr_enable_hw().
Also, trigger nvgpu_gr_free() from gr_remove_support() instead
of OS specific paths. Also remove nvgpu_gr_free() calls from
probe error paths since nvgpu_gr_alloc is no longer called in
probe path.
Move interrupt and falcon data structure free calls to nvgpu_gr_free().
Also remove corresponding unit testing code that tests
nvgpu_gr_prepare_sw() specifically.
Update some unit tests to initialize ecc counters and netlist.
Disable some unit tests that fail for reasons unknown.
Jira NVGPU-5648
Change-Id: I82ec8160f76530bc40e0c11a9f26ba1c8f9cf643
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2400166
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The channel code needs the watchdog code and vice versa. Cut this
circular dependency with a few simplifications so that the watchdog
wouldn't depend on so much.
When calling watchdog APIs that cause stores or comparisons of channel
progress, provide a snapshot of the current progress instead of a whole
channel pointer. struct nvgpu_channel_wdt_state is added as an interface
for this to track gp_get and pb_get.
When periodically checking the watchdog state, make the channel code ask
whether a hang has been detected and abort the channel from within
channel code instead of asking the watchdog to abort the channel. The
debug dump verbosity flag is also moved back to the channel data.
Move the functionality to restart all channels' watchdogs to channel
code from watchdog code. Looping over active channels is not a good
feature for the watchdog; it's better for the channel handling to just
use the watchdog as a tracking tool.
Move a few unserviceable checks up in the stack to the callers of the
wdt code. They're a kludge but this will do for now and demonstrates
what needs to be eventually fixed.
This does not leave much code in the watchdog unit. Now the purpose of
the watchdog is to only isolate the logic to couple a timer and progress
snapshots with careful locking to start and stop the tracking.
Jira NVGPU-5582
Change-Id: I7c728542ff30d88b1414500210be3fbaf61e6e8a
Signed-off-by: Konsta Hölttä <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2369820
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
Reviewed-by: svc-mobile-cert <svc-mobile-cert@nvidia.com>
Reviewed-by: Alex Waterman <alexw@nvidia.com>
Reviewed-by: Deepak Nibade <dnibade@nvidia.com>
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Legacy profiler does not reserve PMA stream resource with PM
reservation system. Also, HWPM system reset is separately implemented
in membuf disable path. And it does not even restore perf unit SLCG
prod values.
Allcoate a dummy profiler object for debug session in perfbuf map
path. Free it in perfbuf unmap path.
This has advantage of synchronizing PMA stream reservation with new
profiler stack. And this also leverages HWPM system reset and SLCG
handling code during resource reservation.
Remove explicit HWPM reset from gops.perf.membuf_reset_streaming()
HALs
Bug 2510974
Jira NVGPU-5360
Change-Id: I54c5202b6251dea3d80a4dfc011e8a296339e07f
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2399595
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Delete the struct nvgpu_engine_info as it's essentially identical to
struct nvgpu_device. Duplicating data structures is not ideal as it's
terribly confusing what does what.
Update all uses of nvgpu_engine_info to use struct nvgpu_device. This
is often a fairly straight forward replacement. Couple of places though
where things got interesting:
- The enum_type that engine_info uses is defined in engines.h and
has a bit of SW abstraction - in particular the GRCE type. The only
place this seemed to be actually relevant (the IOCTL providing device
info to userspace) the GRCE engines can be worked out by comparing
runlist ID.
- Addition of masks based on intr_id and reset_id; those can be
computed easily enough using BIT32() but this is an area that
could be improved on.
This reaches into a lot of extraneous code that traverses the fifo
active engines list and dramtically simplifies this. Now, instead of
having to go through a table of engine IDs that point to the list of
all host engines, the active engine list is just a list of pointers to
valid engines. It's now trivial to do a for-all-active-engines type
loop. This could even be turned into a generic macro or otherwise
abstracted in the future.
JIRA NVGPU-5421
Change-Id: I3a810deb55a7dd8c09836fd2dae85d3e28eb23cf
Signed-off-by: Alex Waterman <alexw@nvidia.com>
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Currently, we just deinitialize the nvlink in the shutdown path.
This alone is not sufficient and can lead to someone trying to use
dGPU while being shutdown.
Avoid triggers to dGPU usage by -
1. Set NVGPU_DRIVER_IS_DYING to let users
know that the driver is currently in the process of dying.
2. Disable IRQs
3. Prepare for poweroff using nvgpu_prepare_poweroff
4. Stop CPU from accessing GPU registers
5. Set GPU state to POWEROFF
Bug 200601517
JIRA NVGPU-5991
Change-Id: Ie185516618678bb893bcc3c3dcb514701483ecf2
Signed-off-by: Tejal Kudav <tkudav@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2393565
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Implement new API nvgpu_prof_ioctl_exec_reg_ops() to support regops on
new profiler objects.
Add two new staging buffers to hold regops copied from userspace, and
to convert and execute regops in common code.
Buffers are allocated and released along with the profiler object.
New API will implements this :
- copy regops data in chunks of 4K from userspace
- store them in staging buffer
- convert the new regop struct into common regop struct and also
copy the content into second staging buffer
- trigger gops.regops.exec_regops() with second staging buffer as
operation pointer
- convert common regop struct back into new regop struct and copy
back to userspace
Export bunch of helper functions from ioctl_dbg.h. e.g.
nvgpu_get_regops_op_values_common()
Update regop execution code to skip regop execution if regop status
is not valid. This is only possible when userspace requests for
CONTINUE_ON_ERROR mode.
Add more documentation to some of the fields in UAPI header.
Note that maximum atomic operations reported by new API are same
as legacy API and are incorrect. This will be fixed up in upcoming
patches.
Bug 2510974
Jira NVGPU-5360
Change-Id: I9f82052b22143aec33f6e778c0784386744b699e
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2394208
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- use release instead of free for the fence destroy identifier
- nvhost_dev is a struct name, so use nvhost_device
- compare nvgpu_nvhost_syncpt_read_ext_check retval properly
Also, if the syncpt read fails when checking for fence expiration,
behave as if the wait isn't expired. Possibly getting stuck is safer
than possibly continuing too early.
Jira NVGPU-5617
Change-Id: Ied529e25f8c43f1c78fd9eac73b9cd6c3550ead5
Signed-off-by: Konsta Hölttä <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2398399
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struct nvgpu_gr is right now initialized during probe and from OS
specific code. To support multiple instances of graphics engine,
nvgpu needs to initialize nvgpu_gr after number of engine instances
have been enumerated in poweron path.
Hence move nvgpu_gr_alloc() to poweron path and after gr manager has
been initialized.
Some of the members of nvgpu_gr are initialized in probe path and they
too are in OS specific code. Move them to common code in
nvgpu_gr_alloc()
Add field fecs_feature_override_ecc_val to struct gk20a to store the
override flag read from device tree. This flag is later copied to
nvgpu_gr in poweron path.
Update tpc_pg_mask_store() to check for g->gr being NULL before
accessing golden image pointer.
Update tpc_fs_mask_store() to return error if g->gr is not initialized.
This path needs nvgpu_gr struct initialized. Also fix the incorrect
NULL pointer check in tpc_fs_mask_store() which breaks the write path
to this sysfs.
Jira NVGPU-5648
Change-Id: Ifa2f66f3663dc2f7c8891cb03b25e997e148ab06
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2397259
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The channel watchdog feature has always been a blocker for deterministic
submits. Instead of waiting for a submit call to happen just to reject
it, nack already the setup_bind ioctl if deterministic is set and the
watchdog has not been disabled before. This can avoid confusion with
usermode submits where leaving the watchdog set would have worked but
the watchdog would never see updates from userspace.
Disallow also any other watchdog adjustments than disabling it when the
channel has been set up for deterministic mode.
Jira NVGPU-5582
Change-Id: I0ba4584bbc035197d952e5b562197c36aa483867
Signed-off-by: Konsta Hölttä <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2369819
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Add a "priv" fence struct type and use that in the fence type to
emphasize that the inner data is not meant to be seen.
The fence unit needs to have an outside-visible fence type so that
fences can be allocated directly as a struct field in job metadata for
performance and simplicity, so hiding the type entirely wouldn't work.
A couple of places need to touch the priv data directly in channel code.
Those can be thought to be technically fence unit's code scattered
outside the fence files, but they mean that the architecture is not
perfect yet.
Jira NVGPU-5773
Change-Id: Ifa3c95757ae31eef0e32f2605293e23e210b065f
Signed-off-by: Konsta Hölttä <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2395071
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Split up nvgpu_channel_clean_up_jobs() on the clean_all parameter so
that there's one version for the asynchronous ("deferred") cleanup and
another for the synchronous deterministic cleanup that occurs in the
submit path.
Forking another version like this adds some repetition, but this lets us
look at both versions clearly in order to come up with a coherent plan.
For example, it might be feasible to have the light cleanup of pooled
items in also the nondeterministic path, and deferring heavy cleanup to
another, entirely separated job queue.
Jira NVGPU-5493
Change-Id: I5423fd474e5b8f7b273383f12302126f47076bd3
Signed-off-by: Konsta Hölttä <kholtta@nvidia.com>
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